Timor Kadir
Timor Kadir
Optellum and Oxford University
Verified email at - Homepage
Cited by
Cited by
A comparison of affine region detectors
K Mikolajczyk, T Tuytelaars, C Schmid, A Zisserman, J Matas, ...
International journal of computer vision 65 (1), 43-72, 2005
Saliency, scale and image description
T Kadir, M Brady
International Journal of Computer Vision 45 (2), 83-105, 2001
An affine invariant salient region detector
T Kadir, A Zisserman, M Brady
European conference on computer vision, 228-241, 2004
Scale, saliency and image description
T Kadir
International Journal of Computer Vision 45 (2), 83-105, 2001
A linguistic feature vector for the visual interpretation of sign language
R Bowden, D Windridge, T Kadir, A Zisserman, M Brady
European Conference on Computer Vision, 390-401, 2004
Automatic classification of mammographic parenchymal patterns: A statistical approach
S Petroudi, T Kadir, M Brady
Proceedings of the 25th annual international conference of the IEEE …, 2003
Bayesian networks for clinical decision support in lung cancer care
MB Sesen, AE Nicholson, R Banares-Alcantara, T Kadir, M Brady
PloS one 8 (12), e82349, 2013
Minimal Training, Large Lexicon, Unconstrained Sign Language Recognition.
T Kadir, R Bowden, EJ Ong, A Zisserman
BMVC, 1-10, 2004
Scale saliency: A novel approach to salient feature and scale selection
T Kadir, M Brady
2003 International Conference on Visual Information Engineering VIE 2003, 25-28, 2003
ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention …
A Jamaludin, M Lootus, T Kadir, A Zisserman, J Urban, MC Battié, ...
European spine journal 26 (5), 1374-1383, 2017
External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules
DR Baldwin, J Gustafson, L Pickup, C Arteta, P Novotny, J Declerck, ...
Thorax 75 (4), 306-312, 2020
SpineNet: automated classification and evidence visualization in spinal MRIs
A Jamaludin, T Kadir, A Zisserman
Medical image analysis 41, 63-73, 2017
Artificial intelligence and radiomics in pulmonary nodule management: current status and future applications
S Ather, T Kadir, F Gleeson
Clinical radiology 75 (1), 13-19, 2020
Vertebrae detection and labelling in lumbar MR images
M Lootus, T Kadir, A Zisserman
Computational methods and clinical applications for spine imaging, 219-230, 2014
SpineNet: automatically pinpointing classification evidence in spinal MRIs
A Jamaludin, T Kadir, A Zisserman
International Conference on Medical Image Computing and Computer-Assisted …, 2016
Lung cancer prediction using machine learning and advanced imaging techniques
T Kadir, F Gleeson
Translational lung cancer research 7 (3), 304, 2018
Scale, saliency and scene description
T Kadir, JM Brady
Oxford University, 2002
Methods of analyzing a selected region of interest in medical image data
J Declerck, T Kadir, MD Kelly
US Patent 8,498,492, 2013
Unsupervised non-parametric region segmentation using level sets
TKM Brady, E House, E Place, O Summertown
International Conference on computer vision 2, 1267-1274, 2003
Validation of clinical acceptability of an atlas‐based segmentation algorithm for the delineation of organs at risk in head and neck cancer
AK Hoang Duc, G Eminowicz, R Mendes, SL Wong, J McClelland, ...
Medical physics 42 (9), 5027-5034, 2015
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